Methods for Business Analysis and Forecasting: Text and Cases
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More About This Title Methods for Business Analysis and Forecasting: Text and Cases
English
Focusing on the principal methods for analysis and forecasting, the text is designed to fit two types of course design, the traditional approach for a technical course, or the approach frequently used in business courses. Examples, exercises, problems, and small and large cases are provided to fit into either or both approaches. An instructor's manual is available which includes solutions, author's notes of each case and possible alternatives, and the programs used by the author.
English
Peter Tryfos is Professor of Management Science, Faculty of Administrative Studies, at York University, Ontario, Canada. He is the author of a text, Business Statistics, published in Canada by McGraw-Hill Ryerson, and a number of articles in applied statistics that have appeared in the Journal of the American Statistical Association, Management Science, Operations Research, and other journals.
English
TEXT.
Regression.
Inference in Regression.
Attributes as Explanatory Variables.
Nonlinear Relationships.
Regression and Time Series.
Lagged Variables.
Regression Miscellanea.
More on Inference in Regression.
Autoregressive Models.
The Classification Problem.
More on Classification.
Models of Systems.
CASES.
Appendices.
Selected References.
Index.
Regression.
Inference in Regression.
Attributes as Explanatory Variables.
Nonlinear Relationships.
Regression and Time Series.
Lagged Variables.
Regression Miscellanea.
More on Inference in Regression.
Autoregressive Models.
The Classification Problem.
More on Classification.
Models of Systems.
CASES.
Appendices.
Selected References.
Index.
